Design and analysis of flow velocity distribution inside a raceway pond using computational fluid dynamics.

Bioprocess Biosyst Eng

Department of Energy and Environment, National Institute of Technology, Tiruchirappalli, 620 015, India.

Published: March 2017

AI Article Synopsis

  • Open raceway ponds are commonly used for large-scale microalgae cultivation, but this study explores increasing the working depth from the conventional 5-15 cm to 25 cm for better volume-to-surface area ratio.
  • The research focuses on analyzing paddle wheel positioning and Vertical Mixing Index using Computational Fluid Dynamics (CFD), while examining flow patterns at various paddle wheel speeds and L/W ratios (6, 8, and 10).
  • The study concludes that specific rotor blade clearance conditions are essential to maintain minimum flow velocity, preventing algae settling at the increased working depth, and validates findings through CFD modeling and comparison with experimental results, showing a 7.23% deviation.

Article Abstract

Open raceway ponds are widely adopted for cultivating microalgae on a large scale. Working depth of the raceway pond is the major component to be analysed for increasing the volume to surface area ratio. The working depth is limited up to 5-15 cm in conventional ponds but in this analysis working depth of raceway pond is considered as 25 cm. In this work, positioning of the paddle wheel is analysed and corresponding Vertical Mixing Index are calculated using CFD. Flow pattern along the length of the raceway pond, at three different paddle wheel speeds are analysed for L/W ratio of 6, 8 and 10, respectively. Effect of clearance (C) between rotor blade tip and bottom surface is also analysed by taking four clearance conditions i.e. C = 2, 5, 10 and 15. Moving reference frame method of Fluent is used for the modeling of six blade paddle wheel and realizable k-ε model is used for capturing turbulence characteristics. Overall objective of this work is to analyse the required geometry for maintaining a minimum flow velocity to avoid settling of algae corresponding to 25 cm working depth. Geometry given in [13] is designed using ANSYS Design modular and CFD results are generated using ANSYS FLUENT for the purpose of validation. Good agreement of results is observed between CFD and experimental Particle image velocimetry results with the deviation of 7.23%.

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Source
http://dx.doi.org/10.1007/s00449-016-1712-8DOI Listing

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